Leads the bioinformatics analysis of high-throughput biological data.
Applies state-of-the-art computational biology and bioinformatics methods and tools to generate new or validate existing testable hypotheses from complex and large biological datasets.
Leads the analysis of data resulting in a better understanding of human genetic variation and the association of medical information to uncover gene-disease links and new targets.
Works effectively with the faculty, clinicians, researchers and experimentalists, to implement novel or adapt existing approaches to optimize upstream and downstream analysis and interpretation of biological data.
Integrates diverse and heterogeneous datasets, to facilitate mining statistical analysis and visualizations leading to a better understanding of disease mechanisms, and the correlation between phenotype and genotype in different research projects.
Instructs others in the selection and use of bioinformatics tools.
Develops new software applications or the customization of existing applications to meet specific scientific project needs.
Identifies suitable datasets and methods to answer particular research questions.
Designs and performs formal evaluation of informatics methods and products.
Performs data analyst functions that generate knowledge via data mining, visualization, or other analytics.
Conducts validation and user acceptance testing.
Creates novel computational approaches.
Designs best research and development practice.
Stays up to date on new advances and developments in bioinformatics and provide on-demand bioinformatics and statistics support to various teams.
Develops training, tools, and process documentation.
Develop programs to perform analyses and generate both routine and ad hoc reports.
Guides with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies.
Performs other related work as needed.
MS in Bioinformatics, Biological Sciences, Computer Science, or a related field.
Doctoral degree in Bioinformatics, Biological Sciences, Computer Science, or a related field.
Minimum of 5 year of experience in programming for bioinformatics with scripting languages such as Python, R,Â XML, C/C++ or SQL.
Background organizing and working with big data.Â Â Â Â Â Â Â Â Â
Working knowledge with next generation sequencing technologies such as BWA, Novoalign, STAR, GATK, samtools, Picard or other tools.
Proficient in analysis pipeline development of high throughput data.
Advanced knowledge in bioinformatics, research techniques and methods.
Ability to train others.
Advanced knowledge of modern programming and/or scripting languages such as Python.
Working knowledge of genomic data regulatory policies and procedures, and the optimization, automation and operations support of analysis pipelines for high dimensional data including whole-genome, whole-exome, and RNA sequencing data.
Advanced analytical skills.Â
Excellent verbal and written communication skills.
Work independently and as part of a team.
Cover Letter (preferred)
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Internal Number: JR10235
About University of Chicago (UC)
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